Mac Studio (2023)
Geekbench AI Score
14509
Single Precision Score
15949
Half Precision Score
14854
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | BirdsLikeWires |
| Upload Date | September 09 2025 01:27 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| Model | Mac Studio (2023) |
| Model ID | Mac14,13 |
| Motherboard | Mac14,13 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6251
1.16 KIPS |
|
|
Image Classification (HP)
|
100% |
6380
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
5927
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13488
218.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13260
215.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
12906
209.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
61800
72.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
65685
76.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
63151
74.0 IPS |
|
|
Object Detection (SP)
|
100% |
5968
473.4 IPS |
|
|
Object Detection (HP)
|
100% |
6256
496.3 IPS |
|
|
Object Detection (Q)
|
92% |
5861
467.8 IPS |
|
|
Face Detection (SP)
|
100% |
24689
293.4 IPS |
|
|
Face Detection (HP)
|
100% |
25612
304.3 IPS |
|
|
Face Detection (Q)
|
100% |
21002
249.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
29201
225.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
29553
227.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
27269
213.0 IPS |
|
|
Style Transfer (SP)
|
100% |
114376
147.0 IPS |
|
|
Style Transfer (HP)
|
100% |
129041
165.9 IPS |
|
|
Style Transfer (Q)
|
96% |
125602
162.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19594
723.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20827
769.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18314
676.2 IPS |
|
|
Text Classification (SP)
|
100% |
2377
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
4071
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4045
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3462
59.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3701
63.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3466
59.9 IPS |
